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<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN"

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<title>The top level matplotlib module — Matplotlib 1.4.3 documentation</title>

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<h1>The top level <tt class="xref py py-mod docutils literal"><span class="pre">matplotlib</span></tt> module<a class="headerlink" href="#the-top-level-matplotlib-module" title="Permalink to this headline">¶</a></h1>

<tt class="descclassname">matplotlib.</tt><tt class="descname">use</tt><big>(</big><em>arg</em>, <em>warn=True</em>, <em>force=False</em><big>)</big><a class="headerlink" href="#matplotlib.use" title="Permalink to this definition">¶</a></dt>

<dd><p>Set the matplotlib backend to one of the known backends.</p>

<p>The argument is case-insensitive. <em>warn</em> specifies whether a

warning should be issued if a backend has already been set up.

<em>force</em> is an <strong>experimental</strong> flag that tells matplotlib to

attempt to initialize a new backend by reloading the backend

module.</p>

<p class="last">This function must be called <em>before</em> importing pyplot for

the first time; or, if you are not using pyplot, it must be called

before importing matplotlib.backends. If warn is True, a warning

is issued if you try and call this after pylab or pyplot have been

loaded. In certain black magic use cases, e.g.

<a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.switch_backend" title="matplotlib.pyplot.switch_backend"><tt class="xref py py-func docutils literal"><span class="pre">pyplot.switch_backend()</span></tt></a>, we are doing the reloading necessary to

make the backend switch work (in some cases, e.g., pure image

backends) so one can set warn=False to suppress the warnings.</p>

</div>

<p>To find out which backend is currently set, see

<a class="reference internal" href="#matplotlib.get_backend" title="matplotlib.get_backend"><tt class="xref py py-func docutils literal"><span class="pre">matplotlib.get_backend()</span></tt></a>.</p>

</dd></dl>

<tt class="descclassname">matplotlib.</tt><tt class="descname">get_backend</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.get_backend" title="Permalink to this definition">¶</a></dt>

<dd><p>Return the name of the current backend.</p>

</dd></dl>

<tt class="descclassname">matplotlib.</tt><tt class="descname">rcParams</tt><a class="headerlink" href="#matplotlib.rcParams" title="Permalink to this definition">¶</a></dt>

<dd><p>An instance of <a class="reference internal" href="#matplotlib.RcParams" title="matplotlib.RcParams"><tt class="xref py py-class docutils literal"><span class="pre">RcParams</span></tt></a> for handling default matplotlib values.</p>

</dd></dl>

<tt class="descclassname">matplotlib.</tt><tt class="descname">rc</tt><big>(</big><em>group</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.rc" title="Permalink to this definition">¶</a></dt>

<dd><p>Set the current rc params. Group is the grouping for the rc, e.g.,

for <tt class="docutils literal"><span class="pre">lines.linewidth</span></tt> the group is <tt class="docutils literal"><span class="pre">lines</span></tt>, for

<tt class="docutils literal"><span class="pre">axes.facecolor</span></tt>, the group is <tt class="docutils literal"><span class="pre">axes</span></tt>, and so on. Group may

also be a list or tuple of group names, e.g., (<em>xtick</em>, <em>ytick</em>).

<em>kwargs</em> is a dictionary attribute name/value pairs, e.g.,:</p>

<div class="highlight-python"><div class="highlight"><pre><span class="n">rc</span><span class="p">(</span><span class="s">'lines'</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s">'r'</span><span class="p">)</span>

</pre></div>

</div>

<p>sets the current rc params and is equivalent to:</p>

<div class="highlight-python"><div class="highlight"><pre><span class="n">rcParams</span><span class="p">[</span><span class="s">'lines.linewidth'</span><span class="p">]</span> <span class="o">=</span> <span class="mi">2</span>

<span class="n">rcParams</span><span class="p">[</span><span class="s">'lines.color'</span><span class="p">]</span> <span class="o">=</span> <span class="s">'r'</span>

</pre></div>

</div>

<p>The following aliases are available to save typing for interactive

users:</p>

</colgroup>

<tr class="row-odd"><th class="head">Alias</th>

<th class="head">Property</th>

</tr>

</thead>

<td>‘linewidth’</td>

</tr>

<td>‘linestyle’</td>

</tr>

<td>‘color’</td>

</tr>

<td>‘facecolor’</td>

</tr>

<td>‘edgecolor’</td>

</tr>

<td>‘markeredgewidth’</td>

</tr>

<td>‘antialiased’</td>

</tr>

</tbody>

</table>

<p>Thus you could abbreviate the above rc command as:</p>

<div class="highlight-python"><div class="highlight"><pre><span class="n">rc</span><span class="p">(</span><span class="s">'lines'</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s">'r'</span><span class="p">)</span>

</pre></div>

</div>

<p>Note you can use python’s kwargs dictionary facility to store

dictionaries of default parameters. e.g., you can customize the

font rc as follows:</p>

<div class="highlight-python"><div class="highlight"><pre><span class="n">font</span> <span class="o">=</span> <span class="p">{</span><span class="s">'family'</span> <span class="p">:</span> <span class="s">'monospace'</span><span class="p">,</span>

<span class="s">'weight'</span> <span class="p">:</span> <span class="s">'bold'</span><span class="p">,</span>

<span class="s">'size'</span> <span class="p">:</span> <span class="s">'larger'</span><span class="p">}</span>

<span class="n">rc</span><span class="p">(</span><span class="s">'font'</span><span class="p">,</span> <span class="o">**</span><span class="n">font</span><span class="p">)</span> <span class="c"># pass in the font dict as kwargs</span>

</pre></div>

</div>

<p>This enables you to easily switch between several configurations.

Use <a class="reference internal" href="pyplot_api.html#matplotlib.pyplot.rcdefaults" title="matplotlib.pyplot.rcdefaults"><tt class="xref py py-func docutils literal"><span class="pre">rcdefaults()</span></tt></a> to restore the default

rc params after changes.</p>

</dd></dl>

<tt class="descclassname">matplotlib.</tt><tt class="descname">matplotlib_fname</tt><big>(</big><big>)</big><a class="headerlink" href="#matplotlib.matplotlib_fname" title="Permalink to this definition">¶</a></dt>

<dd><p>Get the location of the config file.</p>

<p>The file location is determined in the following order</p>

<ul>

<li><p class="first"><tt class="xref py py-obj docutils literal"><span class="pre">$PWD/matplotlibrc</span></tt></p>

</li>

<li><p class="first">environment variable <tt class="xref py py-obj docutils literal"><span class="pre">MATPLOTLIBRC</span></tt></p>

</li>

<li><p class="first"><tt class="xref py py-obj docutils literal"><span class="pre">$MPLCONFIGDIR/matplotlib</span></tt></p>

</li>

<li><p class="first">On Linux,</p>

<li><tt class="xref py py-obj docutils literal"><span class="pre">$HOME/.matplotlib/matplotlibrc</span></tt>, if it exists</li>

<li>or <tt class="xref py py-obj docutils literal"><span class="pre">$XDG_CONFIG_HOME/matplotlib/matplotlibrc</span></tt> (if

$XDG_CONFIG_HOME is defined)</li>

<li>or <tt class="xref py py-obj docutils literal"><span class="pre">$HOME/.config/matplotlib/matplotlibrc</span></tt> (if

$XDG_CONFIG_HOME is not defined)</li>

</ul>

</div></blockquote>

</li>

<li><p class="first">On other platforms,</p>

<li><tt class="xref py py-obj docutils literal"><span class="pre">$HOME/.matplotlib/matplotlibrc</span></tt> if <tt class="xref py py-obj docutils literal"><span class="pre">$HOME</span></tt> is defined.</li>

</ul>

</div></blockquote>

</li>

<li><p class="first">Lastly, it looks in <tt class="xref py py-obj docutils literal"><span class="pre">$MATPLOTLIBDATA/matplotlibrc</span></tt> for a

system-defined copy.</p>

</li>

</ul>

</dd></dl>

<em class="property">class </em><tt class="descclassname">matplotlib.</tt><tt class="descname">RcParams</tt><big>(</big><em>*args</em>, <em>**kwargs</em><big>)</big><a class="headerlink" href="#matplotlib.RcParams" title="Permalink to this definition">¶</a></dt>

<dd><p>A dictionary object including validation</p>

<p>validating functions are defined and associated with rc parameters in

<tt class="xref py py-mod docutils literal"><span class="pre">matplotlib.rcsetup</span></tt></p>

</dd></dl>

<tt class="descclassname">matplotlib.</tt><tt class="descname">rc_params</tt><big>(</big><em>fail_on_error=False</em><big>)</big><a class="headerlink" href="#matplotlib.rc_params" title="Permalink to this definition">¶</a></dt>

<dd><p>Return a <a class="reference internal" href="#matplotlib.RcParams" title="matplotlib.RcParams"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.RcParams</span></tt></a> instance from the

default matplotlib rc file.</p>

</dd></dl>

<tt class="descclassname">matplotlib.</tt><tt class="descname">rc_params_from_file</tt><big>(</big><em>fname</em>, <em>fail_on_error=False</em>, <em>use_default_template=True</em><big>)</big><a class="headerlink" href="#matplotlib.rc_params_from_file" title="Permalink to this definition">¶</a></dt>

<dd><p>Return <a class="reference internal" href="#matplotlib.RcParams" title="matplotlib.RcParams"><tt class="xref py py-class docutils literal"><span class="pre">matplotlib.RcParams</span></tt></a> from the contents of the given file.</p>

<tr class="field-odd field"><th class="field-name">Parameters:</th><td class="field-body"><p class="first"><strong>fname</strong> : str</p>

<div><p>Name of file parsed for matplotlib settings.</p>

</div></blockquote>

<p><strong>fail_on_error</strong> : bool</p>

<div><p>If True, raise an error when the parser fails to convert a parameter.</p>

</div></blockquote>

<p><strong>use_default_template</strong> : bool</p>

<div><p>If True, initialize with default parameters before updating with those

in the given file. If False, the configuration class only contains the

parameters specified in the file. (Useful for updating dicts.)</p>

</div></blockquote>

</td>

</tr>

</tbody>

</table>

</dd></dl>

<em class="property">class </em><tt class="descclassname">matplotlib.</tt><tt class="descname">rc_context</tt><big>(</big><em>rc=None</em>, <em>fname=None</em><big>)</big><a class="headerlink" href="#matplotlib.rc_context" title="Permalink to this definition">¶</a></dt>

<dd><p>Return a context manager for managing rc settings.</p>

<p>This allows one to do:</p>

<span class="k">with</span> <span class="n">mpl</span><span class="o">.</span><span class="n">rc_context</span><span class="p">(</span><span class="n">fname</span><span class="o">=</span><span class="s">'print.rc'</span><span class="p">):</span>

</pre></div>

</div>

<p>The ‘a’ vs ‘x’ and ‘c’ vs ‘x’ plots would have settings from

‘screen.rc’, while the ‘b’ vs ‘x’ plot would have settings from

‘print.rc’.</p>

<p>A dictionary can also be passed to the context manager:</p>

<div class="highlight-python"><div class="highlight"><pre><span class="k">with</span> <span class="n">mpl</span><span class="o">.</span><span class="n">rc_context</span><span class="p">(</span><span class="n">rc</span><span class="o">=</span><span class="p">{</span><span class="s">'text.usetex'</span><span class="p">:</span> <span class="bp">True</span><span class="p">},</span> <span class="n">fname</span><span class="o">=</span><span class="s">'screen.rc'</span><span class="p">):</span>

</pre></div>

</div>

<p>The ‘rc’ dictionary takes precedence over the settings loaded from

‘fname’. Passing a dictionary only is also valid.</p>

</dd></dl>

</div>

</div>

Last updated on Feb 16, 2015.

Created using <a

href="http://sphinx-doc.org/">Sphinx</a> 1.2.3.

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